# Learning_MCP

> Learning_MCP — himanshuaggarwal04380-learning-mcp. Use this tool when you need to manage local agent pipelines with the Model Context Protocol (MCP) for streamlined development and version control, solving problems related to model management and collaboration. It takes in model configurations and outputs managed pipelines, integrating with git for seamless versioning. Ideal for use cases requiring robust model context management and automated pipeline workflows.

Canonical page: https://skillsregistry.net/skills/himanshuaggarwal04380-learning-mcp  
JSON: https://api.skillsregistry.net/v1/skills/himanshuaggarwal04380-learning-mcp

## Description

A local agent pipeline built with the Model Context Protocol (MCP)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/himanshuaggarwal04380/Learning_MCP)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "himanshuaggarwal04380-learning-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/himanshuaggarwal04380-learning-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/himanshuaggarwal04380-learning-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt